{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "import sys,os \n",
    "root_path = os.path.abspath('../')\n",
    "sys.path.append(root_path)\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from util.query_data.processed_query_data import ProcessedQueryData\n",
    "pqd = ProcessedQueryData('jk')\n",
    "from  datetime import datetime,date,timedelta\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "提示：当前环境 pandas 版本高于 0.25，get_price 与 get_fundamentals_continuously 接口 panel 参数将固定为 False\n",
      "注意：0.25 以上版本 pandas 不支持 panel，如使用该数据结构和相关函数请注意修改\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "pd.set_option(\"max_rows\",10)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [
    "stk_hold_data = pqd.get_stk_hold_info_by_trade_date('2021-01-01','2021-09-01')"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "source": [
    "md_xr_xd_data = pqd.get_md_bar_day_xr_xd_by_trade_date('2021-01-01','2021-09-01')"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "source": [
    "market_capitalization = pqd.get_financial_market_capitalization_by_trade_date('2021-01-01','2021-09-01')"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "source": [
    "md_xr_xd_data_code = md_xr_xd_data[md_xr_xd_data.code=='600346.SH']\n",
    "md_xr_xd_data_code = md_xr_xd_data_code.set_index(\"trade_date\")"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "source": [
    "market_capitalization_code = market_capitalization[market_capitalization.code=='600346.SH']\n",
    "market_capitalization_code = market_capitalization_code.set_index(\"trade_date\")\n",
    "df = pd.concat([md_xr_xd_data_code, market_capitalization_code], axis=1)\n",
    "df[['pb_ratio','close']].plot(figsize=(16,9), secondary_y='pb_ratio')"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='trade_date'>"
      ]
     },
     "metadata": {},
     "execution_count": 18
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
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"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "source": [
    "# stocks = market_capitalization.loc[market_capitalization['display_name'].str.contains('ST')==False]\n",
    "market_capitalization = market_capitalization.loc[(market_capitalization.code.str[0:1]=='3')==False]\n",
    "market_capitalization = market_capitalization.loc[(market_capitalization.code.str[0:3]=='688')==False]"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "source": [
    "market_capitalization_a = market_capitalization[(market_capitalization.flow_market_capitalization>100)&(market_capitalization.pb_ratio<1)&(market_capitalization.trade_date==datetime.strptime('2021-08-27', \"%Y-%m-%d\").date())]\n",
    "market_capitalization_a"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "             code  trade_date  close  total_equity   flow_equity  \\\n",
       "685118  600606.SH  2021-08-27   4.39  1.277656e+06  1.277656e+06   \n",
       "685081  600567.SH  2021-08-27   3.39  4.615929e+05  4.615929e+05   \n",
       "685091  600578.SH  2021-08-27   2.73  6.677618e+05  6.677618e+05   \n",
       "685096  600583.SH  2021-08-27   4.42  4.421355e+05  4.421355e+05   \n",
       "685179  600682.SH  2021-08-27   9.80  1.346132e+05  1.165060e+05   \n",
       "...           ...         ...    ...           ...           ...   \n",
       "682551  000937.SZ  2021-08-27   4.68  3.533547e+05  2.906600e+05   \n",
       "682507  000883.SZ  2021-08-27   4.41  6.507449e+05  6.505562e+05   \n",
       "682518  000898.SZ  2021-08-27   5.19  9.405250e+05  7.941252e+05   \n",
       "683534  002958.SZ  2021-08-27   3.90  5.555593e+05  2.695512e+05   \n",
       "683541  002966.SZ  2021-08-27   6.95  3.333333e+05  1.624837e+05   \n",
       "\n",
       "        total_market_capitalization  flow_market_capitalization  \\\n",
       "685118                     560.8911                    560.8911   \n",
       "685081                     156.4800                    156.4800   \n",
       "685091                     182.2990                    182.2990   \n",
       "685096                     195.4239                    195.4239   \n",
       "685179                     131.9210                    114.1759   \n",
       "...                             ...                         ...   \n",
       "682551                     165.3700                    136.0289   \n",
       "682507                     286.9785                    286.8953   \n",
       "682518                     488.1325                    412.1510   \n",
       "683534                     216.6681                    105.1250   \n",
       "683541                     231.6667                    112.9261   \n",
       "\n",
       "        turnover_ratio  pe_ratio  pe_ratio_lyr  ps_ratio  pb_ratio  pcf_ratio  \n",
       "685118          0.1622    3.6873        3.7398    0.1060    0.6202    -9.1473  \n",
       "685081          1.2686    8.3046       11.3301    0.5157    0.9820  -186.7995  \n",
       "685091          0.1508   71.4221       13.0562    0.8677    0.7950    39.6055  \n",
       "685096          0.5958   19.4155       53.7914    1.0369    0.8616   -30.5242  \n",
       "685179          0.4974   16.2556       17.5526    2.3142    0.8042     5.6917  \n",
       "...                ...       ...           ...       ...       ...        ...  \n",
       "682551          2.8504   18.7687       21.0525    0.7201    0.8689     6.2928  \n",
       "682507          0.7633   10.0963       11.6794    1.4657    0.9674    14.7072  \n",
       "682518          1.9034   15.2256       24.6781    0.4341    0.8997    52.6005  \n",
       "683534          0.3979    7.1766        7.3208    2.3051    0.7932    44.4180  \n",
       "683541          1.0280    8.6244        9.0075    2.1919    0.7762     4.8786  \n",
       "\n",
       "[111 rows x 13 columns]"
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>close</th>\n",
       "      <th>total_equity</th>\n",
       "      <th>flow_equity</th>\n",
       "      <th>total_market_capitalization</th>\n",
       "      <th>flow_market_capitalization</th>\n",
       "      <th>turnover_ratio</th>\n",
       "      <th>pe_ratio</th>\n",
       "      <th>pe_ratio_lyr</th>\n",
       "      <th>ps_ratio</th>\n",
       "      <th>pb_ratio</th>\n",
       "      <th>pcf_ratio</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>685118</th>\n",
       "      <td>600606.SH</td>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>4.39</td>\n",
       "      <td>1.277656e+06</td>\n",
       "      <td>1.277656e+06</td>\n",
       "      <td>560.8911</td>\n",
       "      <td>560.8911</td>\n",
       "      <td>0.1622</td>\n",
       "      <td>3.6873</td>\n",
       "      <td>3.7398</td>\n",
       "      <td>0.1060</td>\n",
       "      <td>0.6202</td>\n",
       "      <td>-9.1473</td>\n",
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       "    <tr>\n",
       "      <th>685081</th>\n",
       "      <td>600567.SH</td>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>3.39</td>\n",
       "      <td>4.615929e+05</td>\n",
       "      <td>4.615929e+05</td>\n",
       "      <td>156.4800</td>\n",
       "      <td>156.4800</td>\n",
       "      <td>1.2686</td>\n",
       "      <td>8.3046</td>\n",
       "      <td>11.3301</td>\n",
       "      <td>0.5157</td>\n",
       "      <td>0.9820</td>\n",
       "      <td>-186.7995</td>\n",
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       "    <tr>\n",
       "      <th>685091</th>\n",
       "      <td>600578.SH</td>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>2.73</td>\n",
       "      <td>6.677618e+05</td>\n",
       "      <td>6.677618e+05</td>\n",
       "      <td>182.2990</td>\n",
       "      <td>182.2990</td>\n",
       "      <td>0.1508</td>\n",
       "      <td>71.4221</td>\n",
       "      <td>13.0562</td>\n",
       "      <td>0.8677</td>\n",
       "      <td>0.7950</td>\n",
       "      <td>39.6055</td>\n",
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       "    <tr>\n",
       "      <th>685096</th>\n",
       "      <td>600583.SH</td>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>4.42</td>\n",
       "      <td>4.421355e+05</td>\n",
       "      <td>4.421355e+05</td>\n",
       "      <td>195.4239</td>\n",
       "      <td>195.4239</td>\n",
       "      <td>0.5958</td>\n",
       "      <td>19.4155</td>\n",
       "      <td>53.7914</td>\n",
       "      <td>1.0369</td>\n",
       "      <td>0.8616</td>\n",
       "      <td>-30.5242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685179</th>\n",
       "      <td>600682.SH</td>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>9.80</td>\n",
       "      <td>1.346132e+05</td>\n",
       "      <td>1.165060e+05</td>\n",
       "      <td>131.9210</td>\n",
       "      <td>114.1759</td>\n",
       "      <td>0.4974</td>\n",
       "      <td>16.2556</td>\n",
       "      <td>17.5526</td>\n",
       "      <td>2.3142</td>\n",
       "      <td>0.8042</td>\n",
       "      <td>5.6917</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>682551</th>\n",
       "      <td>000937.SZ</td>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>4.68</td>\n",
       "      <td>3.533547e+05</td>\n",
       "      <td>2.906600e+05</td>\n",
       "      <td>165.3700</td>\n",
       "      <td>136.0289</td>\n",
       "      <td>2.8504</td>\n",
       "      <td>18.7687</td>\n",
       "      <td>21.0525</td>\n",
       "      <td>0.7201</td>\n",
       "      <td>0.8689</td>\n",
       "      <td>6.2928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682507</th>\n",
       "      <td>000883.SZ</td>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>4.41</td>\n",
       "      <td>6.507449e+05</td>\n",
       "      <td>6.505562e+05</td>\n",
       "      <td>286.9785</td>\n",
       "      <td>286.8953</td>\n",
       "      <td>0.7633</td>\n",
       "      <td>10.0963</td>\n",
       "      <td>11.6794</td>\n",
       "      <td>1.4657</td>\n",
       "      <td>0.9674</td>\n",
       "      <td>14.7072</td>\n",
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       "    <tr>\n",
       "      <th>682518</th>\n",
       "      <td>000898.SZ</td>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>5.19</td>\n",
       "      <td>9.405250e+05</td>\n",
       "      <td>7.941252e+05</td>\n",
       "      <td>488.1325</td>\n",
       "      <td>412.1510</td>\n",
       "      <td>1.9034</td>\n",
       "      <td>15.2256</td>\n",
       "      <td>24.6781</td>\n",
       "      <td>0.4341</td>\n",
       "      <td>0.8997</td>\n",
       "      <td>52.6005</td>\n",
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       "    <tr>\n",
       "      <th>683534</th>\n",
       "      <td>002958.SZ</td>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>3.90</td>\n",
       "      <td>5.555593e+05</td>\n",
       "      <td>2.695512e+05</td>\n",
       "      <td>216.6681</td>\n",
       "      <td>105.1250</td>\n",
       "      <td>0.3979</td>\n",
       "      <td>7.1766</td>\n",
       "      <td>7.3208</td>\n",
       "      <td>2.3051</td>\n",
       "      <td>0.7932</td>\n",
       "      <td>44.4180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683541</th>\n",
       "      <td>002966.SZ</td>\n",
       "      <td>2021-08-27</td>\n",
       "      <td>6.95</td>\n",
       "      <td>3.333333e+05</td>\n",
       "      <td>1.624837e+05</td>\n",
       "      <td>231.6667</td>\n",
       "      <td>112.9261</td>\n",
       "      <td>1.0280</td>\n",
       "      <td>8.6244</td>\n",
       "      <td>9.0075</td>\n",
       "      <td>2.1919</td>\n",
       "      <td>0.7762</td>\n",
       "      <td>4.8786</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>111 rows × 13 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 31
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "stk_hold_data"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "             code  trade_date link_id link_name  share_number  share_ratio\n",
       "0       000001.SZ  2021-01-04      SZ       深股通  1.911101e+09         9.84\n",
       "1485    600392.SH  2021-01-04      SH       沪股通  4.414556e+07         2.51\n",
       "1484    600391.SH  2021-01-04      SH       沪股通  5.173500e+05         0.15\n",
       "1483    600389.SH  2021-01-04      SH       沪股通  5.000000e+01         0.00\n",
       "1482    600388.SH  2021-01-04      SH       沪股通  9.695027e+06         0.90\n",
       "...           ...         ...     ...       ...           ...          ...\n",
       "350339  002662.SZ  2021-08-31      SZ       深股通  2.102660e+05         0.01\n",
       "350340  002663.SZ  2021-08-31      SZ       深股通  1.325000e+04         0.00\n",
       "350341  002664.SZ  2021-08-31      SZ       深股通  9.058280e+05         0.22\n",
       "350335  002657.SZ  2021-08-31      SZ       深股通  6.359000e+03         0.00\n",
       "351858  688505.SH  2021-08-31      SH       沪股通  1.465670e+05         0.05\n",
       "\n",
       "[351859 rows x 6 columns]"
      ],
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>trade_date</th>\n",
       "      <th>link_id</th>\n",
       "      <th>link_name</th>\n",
       "      <th>share_number</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>SZ</td>\n",
       "      <td>深股通</td>\n",
       "      <td>1.911101e+09</td>\n",
       "      <td>9.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1485</th>\n",
       "      <td>600392.SH</td>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>SH</td>\n",
       "      <td>沪股通</td>\n",
       "      <td>4.414556e+07</td>\n",
       "      <td>2.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1484</th>\n",
       "      <td>600391.SH</td>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>SH</td>\n",
       "      <td>沪股通</td>\n",
       "      <td>5.173500e+05</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1483</th>\n",
       "      <td>600389.SH</td>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>SH</td>\n",
       "      <td>沪股通</td>\n",
       "      <td>5.000000e+01</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1482</th>\n",
       "      <td>600388.SH</td>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>SH</td>\n",
       "      <td>沪股通</td>\n",
       "      <td>9.695027e+06</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350339</th>\n",
       "      <td>002662.SZ</td>\n",
       "      <td>2021-08-31</td>\n",
       "      <td>SZ</td>\n",
       "      <td>深股通</td>\n",
       "      <td>2.102660e+05</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350340</th>\n",
       "      <td>002663.SZ</td>\n",
       "      <td>2021-08-31</td>\n",
       "      <td>SZ</td>\n",
       "      <td>深股通</td>\n",
       "      <td>1.325000e+04</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350341</th>\n",
       "      <td>002664.SZ</td>\n",
       "      <td>2021-08-31</td>\n",
       "      <td>SZ</td>\n",
       "      <td>深股通</td>\n",
       "      <td>9.058280e+05</td>\n",
       "      <td>0.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350335</th>\n",
       "      <td>002657.SZ</td>\n",
       "      <td>2021-08-31</td>\n",
       "      <td>SZ</td>\n",
       "      <td>深股通</td>\n",
       "      <td>6.359000e+03</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351858</th>\n",
       "      <td>688505.SH</td>\n",
       "      <td>2021-08-31</td>\n",
       "      <td>SH</td>\n",
       "      <td>沪股通</td>\n",
       "      <td>1.465670e+05</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>351859 rows × 6 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [
    "trade_date = pqd.get_trade_date('2021-01-01','2021-09-01')\n",
    "trade_date_list = trade_date.trade_date.to_list()\n",
    "trade_date_list"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [
    "\n",
    "# groupby_code = stk_hold_data.groupby(\"code\")\n",
    "# code_list = list(groupby_code.groups)\n",
    "stk_hold_data_upd = stk_hold_data.copy(deep=True)\n",
    "stk_hold_data_upd['return'] = 0.00\n",
    "md_xr_xd_data_upd = md_xr_xd_data.copy(deep=True)\n",
    "md_xr_xd_data_upd = md_xr_xd_data_upd.set_index('code')\n",
    "for day_date in trade_date_list:\n",
    "    stk_hold_data_day = stk_hold_data_upd[stk_hold_data_upd['trade_date']==day_date]\n",
    "    print(str(day_date))\n",
    "    for index,row in stk_hold_data_day.iterrows():\n",
    "        md_xr_xd_data_code = md_xr_xd_data_upd.loc[(row['code'])]\n",
    "        key = row['code']\n",
    "        # md_xr_xd_data_code['return'] = round(md_xr_xd_data_code.open.diff(1)/md_xr_xd_data_code.open*100,2)\n",
    "        # md_xr_xd_data_code = md_xr_xd_data_code.set_index(\"trade_date\")\n",
    "        # md_xr_xd_data_code_day = md_xr_xd_data_code[md_xr_xd_data_code.index==day_date]\n",
    "        # if len(md_xr_xd_data_code_day)>0:\n",
    "        #     stk_hold_data_upd.loc[(stk_hold_data_upd['trade_date']==day_date)&(stk_hold_data_upd['code']==key),('return')] = [[return_m]]\n",
    "        # print(md_xr_xd_data_code)\n",
    "        # to_day_md_dataframe = md_xr_xd_data[(md_xr_xd_data['trade_date']==day_date)&(md_xr_xd_data['code']==key)]\n",
    "        # next_md_dataframe = md_xr_xd_data[(md_xr_xd_data['trade_date']>day_date)&(md_xr_xd_data['code']==key)]\n",
    "        # pre_md_dataframe = md_xr_xd_data[(md_xr_xd_data['trade_date']<day_date)&(md_xr_xd_data['code']==key)]\n",
    "        # if (len(to_day_md_dataframe)<1)|(len(next_md_dataframe)<1)|(len(pre_md_dataframe)<1):\n",
    "        #     continue\n",
    "        # else:\n",
    "        #     to_day = to_day_md_dataframe.iloc[-1]\n",
    "        #     next_day = next_md_dataframe.iloc[0]\n",
    "        #     pre_day = pre_md_dataframe.iloc[-1]\n",
    "        #     return_m = round((next_day.open-to_day.open)/to_day.open*100,2)\n",
    "        #     stk_hold_data_upd.loc[(stk_hold_data_upd['tarde_date']==day_date)&(stk_hold_data_upd['code']==key),('return')] = [[return_m]]\n",
    "\n"
   ],
   "outputs": [],
   "metadata": {}
  }
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